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doomlab.github.io | ||
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dustintran.com
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| | | | | One aspect I always enjoy about machine learning is that questions often go back to the basics. The field essentially goes into an existential crisis every dozen years-rethinking our tools and asking foundational questions such as "why neural networks" or "why generative models".1 This was a theme in my conversations during NIPS 2016 last week, where a frequent topic was on the advantages of a Bayesian perspective to machine learning. Not surprisingly, this appeared as a big discussion point during the p... | |
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blogisbis.wordpress.com
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| | | | | Ron S. Kenett, KPA Group, Samuel Neaman Institute, Technion and Institute for Drug Research, Hebrew University, Jerusalem, Israel. | |
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www.statsblogs.com
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noelwelsh.com
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